from sklearn_benchmarks.report import Reporting, ReportingHpo, print_time_report, print_env_info
import pandas as pd
pd.set_option('display.max_colwidth', None)
pd.set_option('display.max_columns', None)
pd.set_option('display.max_rows', None)
scikit-learn vs. scikit-learn-intelex (Intel® oneAPI) benchmarks: perfect hyperparameters match¶print_time_report()
sklearnex_KMeans_short: 0h 0m 1s
sklearnex_Ridge: 0h 0m 2s
KMeans_short: 0h 0m 3s
sklearnex_LogisticRegression: 0h 0m 4s
sklearnex_KMeans_tall: 0h 0m 8s
Ridge: 0h 0m 11s
LogisticRegression: 0h 0m 21s
KMeans_tall: 0h 0m 25s
sklearnex_KNeighborsClassifier_kd_tree: 0h 0m 29s
KNeighborsClassifier_kd_tree: 0h 2m 46s
sklearnex_KNeighborsClassifier: 0h 2m 50s
catboost_lossguide: 0h 5m 8s
xgboost: 0h 5m 9s
catboost_symmetric: 0h 5m 19s
lightgbm: 0h 5m 28s
HistGradientBoostingClassifier: 0h 5m 55s
KNeighborsClassifier: 0h 33m 38s
total: 1h 8m 4s
print_env_info()
{
"system_info": {
"python": "3.8.10 | packaged by conda-forge | (default, May 11 2021, 07:01:05) [GCC 9.3.0]",
"executable": "/usr/share/miniconda/envs/sklbench/bin/python",
"machine": "Linux-5.8.0-1036-azure-x86_64-with-glibc2.10"
},
"dependencies_info": {
"pip": "21.1.3",
"setuptools": "49.6.0.post20210108",
"sklearn": "1.0.dev0",
"numpy": "1.21.0",
"scipy": "1.7.0",
"Cython": null,
"pandas": "1.3.0",
"matplotlib": "3.4.2",
"joblib": "1.0.1",
"threadpoolctl": "2.1.0"
},
"threadpool_info": [
{
"filepath": "/usr/share/miniconda/envs/sklbench/lib/libopenblasp-r0.3.15.so",
"prefix": "libopenblas",
"user_api": "blas",
"internal_api": "openblas",
"version": "0.3.15",
"num_threads": 2,
"threading_layer": "pthreads"
},
{
"filepath": "/usr/share/miniconda/envs/sklbench/lib/python3.8/site-packages/scikit_learn.libs/libgomp-f7e03b3e.so.1.0.0",
"prefix": "libgomp",
"user_api": "openmp",
"internal_api": "openmp",
"version": null,
"num_threads": 2
},
{
"filepath": "/usr/share/miniconda/envs/sklbench/lib/libgomp.so.1.0.0",
"prefix": "libgomp",
"user_api": "openmp",
"internal_api": "openmp",
"version": null,
"num_threads": 2
}
],
"cpu_count": 2
}
reporting = Reporting(config="config.yml")
reporting.run()
KNeighborsClassifier: scikit-learn (1.0.dev0) vs. scikit-learn-intelex (2021.20210705.191215)¶All estimators share the following hyperparameters: algorithm=brute.
| estimator | function | n_samples_train | n_samples | n_features | n_iter | mean_sklearn | stdev_sklearn | throughput | latency | n_jobs | n_neighbors | accuracy_score_sklearn | accuracy_score_sklearnex | mean_sklearnex | stdev_sklearnex | speedup | stdev_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | KNeighborsClassifier | fit | 1000000 | 1000000 | 100 | NaN | 0.146 | 0.0 | 5.497 | 0.0 | 1 | 100 | NaN | NaN | 0.497 | 0.0 | 0.293 | 0.0 | See | See |
| 3 | KNeighborsClassifier | fit | 1000000 | 1000000 | 100 | NaN | 0.130 | 0.0 | 6.136 | 0.0 | -1 | 1 | NaN | NaN | 0.473 | 0.0 | 0.275 | 0.0 | See | See |
| 6 | KNeighborsClassifier | fit | 1000000 | 1000000 | 100 | NaN | 0.133 | 0.0 | 6.022 | 0.0 | -1 | 5 | NaN | NaN | 0.473 | 0.0 | 0.281 | 0.0 | See | See |
| 9 | KNeighborsClassifier | fit | 1000000 | 1000000 | 100 | NaN | 0.134 | 0.0 | 5.983 | 0.0 | 1 | 1 | NaN | NaN | 0.473 | 0.0 | 0.283 | 0.0 | See | See |
| 12 | KNeighborsClassifier | fit | 1000000 | 1000000 | 100 | NaN | 0.124 | 0.0 | 6.458 | 0.0 | -1 | 100 | NaN | NaN | 0.473 | 0.0 | 0.262 | 0.0 | See | See |
| 15 | KNeighborsClassifier | fit | 1000000 | 1000000 | 100 | NaN | 0.123 | 0.0 | 6.490 | 0.0 | 1 | 5 | NaN | NaN | 0.473 | 0.0 | 0.260 | 0.0 | See | See |
| 18 | KNeighborsClassifier | fit | 1000000 | 1000000 | 2 | NaN | 0.061 | 0.0 | 0.264 | 0.0 | 1 | 100 | NaN | NaN | 0.112 | 0.0 | 0.541 | 0.0 | See | See |
| 21 | KNeighborsClassifier | fit | 1000000 | 1000000 | 2 | NaN | 0.060 | 0.0 | 0.265 | 0.0 | -1 | 1 | NaN | NaN | 0.112 | 0.0 | 0.537 | 0.0 | See | See |
| 24 | KNeighborsClassifier | fit | 1000000 | 1000000 | 2 | NaN | 0.061 | 0.0 | 0.262 | 0.0 | -1 | 5 | NaN | NaN | 0.112 | 0.0 | 0.547 | 0.0 | See | See |
| 27 | KNeighborsClassifier | fit | 1000000 | 1000000 | 2 | NaN | 0.061 | 0.0 | 0.264 | 0.0 | 1 | 1 | NaN | NaN | 0.112 | 0.0 | 0.540 | 0.0 | See | See |
| 30 | KNeighborsClassifier | fit | 1000000 | 1000000 | 2 | NaN | 0.060 | 0.0 | 0.267 | 0.0 | -1 | 100 | NaN | NaN | 0.111 | 0.0 | 0.537 | 0.0 | See | See |
| 33 | KNeighborsClassifier | fit | 1000000 | 1000000 | 2 | NaN | 0.061 | 0.0 | 0.261 | 0.0 | 1 | 5 | NaN | NaN | 0.112 | 0.0 | 0.548 | 0.0 | See | See |
| estimator | function | n_samples_train | n_samples | n_features | n_iter | mean_sklearn | stdev_sklearn | throughput | latency | n_jobs | n_neighbors | accuracy_score_sklearn | accuracy_score_sklearnex | mean_sklearnex | stdev_sklearnex | speedup | stdev_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | KNeighborsClassifier | predict | 1000000 | 1000 | 100 | NaN | 23.701 | 0.298 | 0.0 | 0.024 | 1 | 100 | 0.939 | 0.697 | 2.012 | 0.018 | 11.777 | 0.183 | See | See |
| 2 | KNeighborsClassifier | predict | 1000000 | 1 | 100 | NaN | 0.196 | 0.003 | 0.0 | 0.196 | 1 | 100 | 1.000 | 0.000 | 0.081 | 0.001 | 2.416 | 0.037 | See | See |
| 4 | KNeighborsClassifier | predict | 1000000 | 1000 | 100 | NaN | 24.265 | 0.240 | 0.0 | 0.024 | -1 | 1 | 0.710 | 0.784 | 2.012 | 0.016 | 12.061 | 0.154 | See | See |
| 5 | KNeighborsClassifier | predict | 1000000 | 1 | 100 | NaN | 0.183 | 0.018 | 0.0 | 0.183 | -1 | 1 | 0.000 | 1.000 | 0.082 | 0.003 | 2.229 | 0.236 | See | See |
| 7 | KNeighborsClassifier | predict | 1000000 | 1000 | 100 | NaN | 35.318 | 0.000 | 0.0 | 0.035 | -1 | 5 | 0.810 | 0.784 | 2.007 | 0.011 | 17.595 | 0.092 | See | See |
| 8 | KNeighborsClassifier | predict | 1000000 | 1 | 100 | NaN | 0.188 | 0.016 | 0.0 | 0.188 | -1 | 5 | 0.000 | 1.000 | 0.081 | 0.003 | 2.323 | 0.216 | See | See |
| 10 | KNeighborsClassifier | predict | 1000000 | 1000 | 100 | NaN | 12.898 | 0.021 | 0.0 | 0.013 | 1 | 1 | 0.710 | 0.929 | 2.077 | 0.014 | 6.211 | 0.043 | See | See |
| 11 | KNeighborsClassifier | predict | 1000000 | 1 | 100 | NaN | 0.186 | 0.000 | 0.0 | 0.186 | 1 | 1 | 0.000 | 1.000 | 0.083 | 0.002 | 2.243 | 0.045 | See | See |
| 13 | KNeighborsClassifier | predict | 1000000 | 1000 | 100 | NaN | 34.925 | 0.000 | 0.0 | 0.035 | -1 | 100 | 0.939 | 0.697 | 2.010 | 0.016 | 17.377 | 0.135 | See | See |
| 14 | KNeighborsClassifier | predict | 1000000 | 1 | 100 | NaN | 0.176 | 0.017 | 0.0 | 0.176 | -1 | 100 | 1.000 | 0.000 | 0.081 | 0.001 | 2.178 | 0.215 | See | See |
| 16 | KNeighborsClassifier | predict | 1000000 | 1000 | 100 | NaN | 23.725 | 0.061 | 0.0 | 0.024 | 1 | 5 | 0.810 | 0.929 | 2.071 | 0.013 | 11.458 | 0.078 | See | See |
| 17 | KNeighborsClassifier | predict | 1000000 | 1 | 100 | NaN | 0.193 | 0.002 | 0.0 | 0.193 | 1 | 5 | 0.000 | 1.000 | 0.088 | 0.013 | 2.206 | 0.325 | See | See |
| 19 | KNeighborsClassifier | predict | 1000000 | 1000 | 2 | NaN | 19.843 | 0.013 | 0.0 | 0.020 | 1 | 100 | 0.989 | 0.981 | 0.318 | 0.006 | 62.455 | 1.205 | See | See |
| 20 | KNeighborsClassifier | predict | 1000000 | 1 | 2 | NaN | 0.031 | 0.000 | 0.0 | 0.031 | 1 | 100 | 1.000 | 1.000 | 0.006 | 0.001 | 4.891 | 0.829 | See | See |
| 22 | KNeighborsClassifier | predict | 1000000 | 1000 | 2 | NaN | 21.366 | 0.163 | 0.0 | 0.021 | -1 | 1 | 0.979 | 0.985 | 0.322 | 0.005 | 66.387 | 1.103 | See | See |
| 23 | KNeighborsClassifier | predict | 1000000 | 1 | 2 | NaN | 0.022 | 0.002 | 0.0 | 0.022 | -1 | 1 | 1.000 | 1.000 | 0.006 | 0.000 | 3.493 | 0.388 | See | See |
| 25 | KNeighborsClassifier | predict | 1000000 | 1000 | 2 | NaN | 31.280 | 0.000 | 0.0 | 0.031 | -1 | 5 | 0.988 | 0.985 | 0.319 | 0.005 | 98.141 | 1.585 | See | See |
| 26 | KNeighborsClassifier | predict | 1000000 | 1 | 2 | NaN | 0.038 | 0.003 | 0.0 | 0.038 | -1 | 5 | 1.000 | 1.000 | 0.006 | 0.000 | 6.168 | 0.491 | See | See |
| 28 | KNeighborsClassifier | predict | 1000000 | 1000 | 2 | NaN | 10.002 | 0.017 | 0.0 | 0.010 | 1 | 1 | 0.979 | 0.989 | 0.375 | 0.005 | 26.690 | 0.341 | See | See |
| 29 | KNeighborsClassifier | predict | 1000000 | 1 | 2 | NaN | 0.015 | 0.001 | 0.0 | 0.015 | 1 | 1 | 1.000 | 1.000 | 0.006 | 0.000 | 2.413 | 0.158 | See | See |
| 31 | KNeighborsClassifier | predict | 1000000 | 1000 | 2 | NaN | 30.785 | 0.000 | 0.0 | 0.031 | -1 | 100 | 0.989 | 0.981 | 0.313 | 0.005 | 98.312 | 1.461 | See | See |
| 32 | KNeighborsClassifier | predict | 1000000 | 1 | 2 | NaN | 0.038 | 0.003 | 0.0 | 0.038 | -1 | 100 | 1.000 | 1.000 | 0.006 | 0.001 | 6.094 | 0.990 | See | See |
| 34 | KNeighborsClassifier | predict | 1000000 | 1000 | 2 | NaN | 19.834 | 0.010 | 0.0 | 0.020 | 1 | 5 | 0.988 | 0.989 | 0.376 | 0.006 | 52.768 | 0.822 | See | See |
| 35 | KNeighborsClassifier | predict | 1000000 | 1 | 2 | NaN | 0.031 | 0.000 | 0.0 | 0.031 | 1 | 5 | 1.000 | 1.000 | 0.007 | 0.001 | 4.825 | 0.663 | See | See |
KNeighborsClassifier_kd_tree: scikit-learn (1.0.dev0) vs. scikit-learn-intelex (2021.20210705.191215)¶All estimators share the following hyperparameters: algorithm=kd_tree.
| estimator | function | n_samples_train | n_samples | n_features | n_iter | mean_sklearn | stdev_sklearn | throughput | latency | n_jobs | n_neighbors | accuracy_score_sklearn | accuracy_score_sklearnex | mean_sklearnex | stdev_sklearnex | speedup | stdev_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | KNeighborsClassifier_kd_tree | fit | 1000000 | 1000000 | 10 | NaN | 3.105 | 0.0 | 0.026 | 0.0 | -1 | 1 | NaN | NaN | 0.765 | 0.0 | 4.057 | 0.0 | See | See |
| 3 | KNeighborsClassifier_kd_tree | fit | 1000000 | 1000000 | 10 | NaN | 3.202 | 0.0 | 0.025 | 0.0 | 1 | 100 | NaN | NaN | 0.751 | 0.0 | 4.263 | 0.0 | See | See |
| 6 | KNeighborsClassifier_kd_tree | fit | 1000000 | 1000000 | 10 | NaN | 3.158 | 0.0 | 0.025 | 0.0 | 1 | 5 | NaN | NaN | 0.778 | 0.0 | 4.058 | 0.0 | See | See |
| 9 | KNeighborsClassifier_kd_tree | fit | 1000000 | 1000000 | 10 | NaN | 3.173 | 0.0 | 0.025 | 0.0 | 1 | 1 | NaN | NaN | 0.787 | 0.0 | 4.032 | 0.0 | See | See |
| 12 | KNeighborsClassifier_kd_tree | fit | 1000000 | 1000000 | 10 | NaN | 3.174 | 0.0 | 0.025 | 0.0 | -1 | 100 | NaN | NaN | 0.773 | 0.0 | 4.104 | 0.0 | See | See |
| 15 | KNeighborsClassifier_kd_tree | fit | 1000000 | 1000000 | 10 | NaN | 3.121 | 0.0 | 0.026 | 0.0 | -1 | 5 | NaN | NaN | 0.787 | 0.0 | 3.968 | 0.0 | See | See |
| 18 | KNeighborsClassifier_kd_tree | fit | 1000000 | 1000000 | 2 | NaN | 0.837 | 0.0 | 0.019 | 0.0 | -1 | 1 | NaN | NaN | 0.566 | 0.0 | 1.480 | 0.0 | See | See |
| 21 | KNeighborsClassifier_kd_tree | fit | 1000000 | 1000000 | 2 | NaN | 0.865 | 0.0 | 0.018 | 0.0 | 1 | 100 | NaN | NaN | 0.533 | 0.0 | 1.624 | 0.0 | See | See |
| 24 | KNeighborsClassifier_kd_tree | fit | 1000000 | 1000000 | 2 | NaN | 0.845 | 0.0 | 0.019 | 0.0 | 1 | 5 | NaN | NaN | 0.530 | 0.0 | 1.595 | 0.0 | See | See |
| 27 | KNeighborsClassifier_kd_tree | fit | 1000000 | 1000000 | 2 | NaN | 0.846 | 0.0 | 0.019 | 0.0 | 1 | 1 | NaN | NaN | 0.531 | 0.0 | 1.595 | 0.0 | See | See |
| 30 | KNeighborsClassifier_kd_tree | fit | 1000000 | 1000000 | 2 | NaN | 0.855 | 0.0 | 0.019 | 0.0 | -1 | 100 | NaN | NaN | 0.537 | 0.0 | 1.592 | 0.0 | See | See |
| 33 | KNeighborsClassifier_kd_tree | fit | 1000000 | 1000000 | 2 | NaN | 0.881 | 0.0 | 0.018 | 0.0 | -1 | 5 | NaN | NaN | 0.526 | 0.0 | 1.677 | 0.0 | See | See |
| estimator | function | n_samples_train | n_samples | n_features | n_iter | mean_sklearn | stdev_sklearn | throughput | latency | n_jobs | n_neighbors | accuracy_score_sklearn | accuracy_score_sklearnex | mean_sklearnex | stdev_sklearnex | speedup | stdev_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | NaN | 0.431 | 0.010 | 0.000 | 0.000 | -1 | 1 | 0.967 | 0.980 | 0.186 | 0.003 | 2.316 | 0.068 | See | See |
| 2 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1 | 10 | NaN | 0.006 | 0.001 | 0.000 | 0.006 | -1 | 1 | 1.000 | 1.000 | 0.000 | 0.000 | 14.472 | 6.571 | See | See |
| 4 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | NaN | 4.883 | 0.016 | 0.000 | 0.005 | 1 | 100 | 0.978 | 0.960 | 0.104 | 0.003 | 46.844 | 1.165 | See | See |
| 5 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1 | 10 | NaN | 0.018 | 0.001 | 0.000 | 0.018 | 1 | 100 | 0.000 | 1.000 | 0.000 | 0.000 | 54.952 | 22.419 | See | See |
| 7 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | NaN | 1.462 | 0.007 | 0.000 | 0.001 | 1 | 5 | 0.981 | 0.960 | 0.104 | 0.002 | 14.083 | 0.288 | See | See |
| 8 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1 | 10 | NaN | 0.008 | 0.001 | 0.000 | 0.008 | 1 | 5 | 0.000 | 1.000 | 0.000 | 0.000 | 24.206 | 10.088 | See | See |
| 10 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | NaN | 0.752 | 0.003 | 0.000 | 0.001 | 1 | 1 | 0.967 | 0.980 | 0.191 | 0.003 | 3.939 | 0.071 | See | See |
| 11 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1 | 10 | NaN | 0.004 | 0.001 | 0.000 | 0.004 | 1 | 1 | 1.000 | 1.000 | 0.000 | 0.000 | 10.416 | 4.582 | See | See |
| 13 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | NaN | 2.892 | 0.044 | 0.000 | 0.003 | -1 | 100 | 0.978 | 0.979 | 0.563 | 0.014 | 5.139 | 0.151 | See | See |
| 14 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1 | 10 | NaN | 0.022 | 0.001 | 0.000 | 0.022 | -1 | 100 | 0.000 | 1.000 | 0.001 | 0.000 | 28.096 | 8.888 | See | See |
| 16 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | NaN | 0.893 | 0.028 | 0.000 | 0.001 | -1 | 5 | 0.981 | 0.979 | 0.558 | 0.004 | 1.602 | 0.051 | See | See |
| 17 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1 | 10 | NaN | 0.012 | 0.001 | 0.000 | 0.012 | -1 | 5 | 0.000 | 1.000 | 0.001 | 0.000 | 15.209 | 5.147 | See | See |
| 19 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 2 | NaN | 0.028 | 0.001 | 0.001 | 0.000 | -1 | 1 | 0.971 | 0.989 | 0.001 | 0.001 | 21.602 | 8.600 | See | See |
| 20 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1 | 2 | NaN | 0.003 | 0.001 | 0.000 | 0.003 | -1 | 1 | 1.000 | 1.000 | 0.000 | 0.000 | 21.059 | 15.768 | See | See |
| 22 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 2 | NaN | 0.053 | 0.001 | 0.000 | 0.000 | 1 | 100 | 0.980 | 0.980 | 0.001 | 0.000 | 60.675 | 25.118 | See | See |
| 23 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1 | 2 | NaN | 0.001 | 0.000 | 0.000 | 0.001 | 1 | 100 | 1.000 | 1.000 | 0.000 | 0.000 | 5.367 | 3.389 | See | See |
| 25 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 2 | NaN | 0.027 | 0.001 | 0.001 | 0.000 | 1 | 5 | 0.981 | 0.980 | 0.002 | 0.002 | 15.118 | 19.032 | See | See |
| 26 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1 | 2 | NaN | 0.001 | 0.000 | 0.000 | 0.001 | 1 | 5 | 1.000 | 1.000 | 0.000 | 0.000 | 5.663 | 4.010 | See | See |
| 28 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 2 | NaN | 0.024 | 0.000 | 0.001 | 0.000 | 1 | 1 | 0.971 | 0.989 | 0.001 | 0.000 | 21.264 | 4.942 | See | See |
| 29 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1 | 2 | NaN | 0.001 | 0.000 | 0.000 | 0.001 | 1 | 1 | 1.000 | 1.000 | 0.000 | 0.000 | 5.470 | 3.800 | See | See |
| 31 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 2 | NaN | 0.051 | 0.002 | 0.000 | 0.000 | -1 | 100 | 0.980 | 0.989 | 0.008 | 0.001 | 6.486 | 0.904 | See | See |
| 32 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1 | 2 | NaN | 0.003 | 0.001 | 0.000 | 0.003 | -1 | 100 | 1.000 | 1.000 | 0.000 | 0.000 | 23.348 | 16.811 | See | See |
| 34 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 2 | NaN | 0.029 | 0.001 | 0.001 | 0.000 | -1 | 5 | 0.981 | 0.989 | 0.008 | 0.001 | 3.765 | 0.366 | See | See |
| 35 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1 | 2 | NaN | 0.003 | 0.001 | 0.000 | 0.003 | -1 | 5 | 1.000 | 1.000 | 0.000 | 0.000 | 19.819 | 14.067 | See | See |
KMeans_tall: scikit-learn (1.0.dev0) vs. scikit-learn-intelex (2021.20210705.191215)¶All estimators share the following hyperparameters: algorithm=full, n_clusters=3, max_iter=30, n_init=1, tol=1e-16.
| estimator | function | n_samples_train | n_samples | n_features | n_iter_sklearn | mean_sklearn | stdev_sklearn | throughput | latency | init | adjusted_rand_score_sklearn | n_iter_sklearnex | adjusted_rand_score_sklearnex | mean_sklearnex | stdev_sklearnex | speedup | stdev_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | KMeans_tall | fit | 1000000 | 1000000 | 2 | 30 | 0.702 | 0.0 | 0.684 | 0.0 | random | NaN | 30 | NaN | 0.491 | 0.0 | 1.429 | 0.0 | See | See |
| 3 | KMeans_tall | fit | 1000000 | 1000000 | 2 | 30 | 0.670 | 0.0 | 0.717 | 0.0 | k-means++ | NaN | 30 | NaN | 0.507 | 0.0 | 1.321 | 0.0 | See | See |
| 6 | KMeans_tall | fit | 1000000 | 1000000 | 100 | 30 | 6.764 | 0.0 | 3.548 | 0.0 | random | NaN | 30 | NaN | 2.719 | 0.0 | 2.488 | 0.0 | See | See |
| 9 | KMeans_tall | fit | 1000000 | 1000000 | 100 | 30 | 6.838 | 0.0 | 3.510 | 0.0 | k-means++ | NaN | 30 | NaN | 2.807 | 0.0 | 2.436 | 0.0 | See | See |
| estimator | function | n_samples_train | n_samples | n_features | n_iter_sklearn | mean_sklearn | stdev_sklearn | throughput | latency | init | adjusted_rand_score_sklearn | n_iter_sklearnex | adjusted_rand_score_sklearnex | mean_sklearnex | stdev_sklearnex | speedup | stdev_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | KMeans_tall | predict | 1000000 | 1000 | 2 | 30 | 0.002 | 0.000 | 0.299 | 0.000 | random | 0.000 | 30 | 0.001 | 0.0 | 0.0 | 10.270 | 6.254 | See | See |
| 2 | KMeans_tall | predict | 1000000 | 1 | 2 | 30 | 0.002 | 0.000 | 0.000 | 0.002 | random | 1.000 | 30 | 1.000 | 0.0 | 0.0 | 11.432 | 7.104 | See | See |
| 4 | KMeans_tall | predict | 1000000 | 1000 | 2 | 30 | 0.002 | 0.000 | 0.301 | 0.000 | k-means++ | 0.001 | 30 | 0.001 | 0.0 | 0.0 | 9.439 | 5.100 | See | See |
| 5 | KMeans_tall | predict | 1000000 | 1 | 2 | 30 | 0.002 | 0.000 | 0.000 | 0.002 | k-means++ | 1.000 | 30 | 1.000 | 0.0 | 0.0 | 11.421 | 7.365 | See | See |
| 7 | KMeans_tall | predict | 1000000 | 1000 | 100 | 30 | 0.002 | 0.000 | 12.503 | 0.000 | random | 0.001 | 30 | 0.002 | 0.0 | 0.0 | 5.876 | 2.080 | See | See |
| 8 | KMeans_tall | predict | 1000000 | 1 | 100 | 30 | 0.002 | 0.001 | 0.013 | 0.002 | random | 1.000 | 30 | 1.000 | 0.0 | 0.0 | 11.621 | 7.887 | See | See |
| 10 | KMeans_tall | predict | 1000000 | 1000 | 100 | 30 | 0.002 | 0.000 | 11.718 | 0.000 | k-means++ | 0.003 | 30 | 0.001 | 0.0 | 0.0 | 6.726 | 2.478 | See | See |
| 11 | KMeans_tall | predict | 1000000 | 1 | 100 | 30 | 0.002 | 0.000 | 0.015 | 0.002 | k-means++ | 1.000 | 30 | 1.000 | 0.0 | 0.0 | 11.255 | 6.868 | See | See |
KMeans_short: scikit-learn (1.0.dev0) vs. scikit-learn-intelex (2021.20210705.191215)¶All estimators share the following hyperparameters: algorithm=full, n_clusters=300, max_iter=20, n_init=1, tol=1e-16.
| estimator | function | n_samples_train | n_samples | n_features | n_iter_sklearn | mean_sklearn | stdev_sklearn | throughput | latency | init | adjusted_rand_score_sklearn | n_iter_sklearnex | adjusted_rand_score_sklearnex | mean_sklearnex | stdev_sklearnex | speedup | stdev_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | KMeans_short | fit | 10000 | 10000 | 2 | 20 | 0.095 | 0.0 | 0.034 | 0.0 | random | NaN | 20 | NaN | 0.035 | 0.0 | 2.712 | 0.0 | See | See |
| 3 | KMeans_short | fit | 10000 | 10000 | 2 | 20 | 0.254 | 0.0 | 0.013 | 0.0 | k-means++ | NaN | 20 | NaN | 0.106 | 0.0 | 2.391 | 0.0 | See | See |
| 6 | KMeans_short | fit | 10000 | 10000 | 100 | 20 | 0.230 | 0.0 | 0.696 | 0.0 | random | NaN | 20 | NaN | 0.134 | 0.0 | 1.719 | 0.0 | See | See |
| 9 | KMeans_short | fit | 10000 | 10000 | 100 | 20 | 0.715 | 0.0 | 0.224 | 0.0 | k-means++ | NaN | 20 | NaN | 0.361 | 0.0 | 1.980 | 0.0 | See | See |
| estimator | function | n_samples_train | n_samples | n_features | n_iter_sklearn | mean_sklearn | stdev_sklearn | throughput | latency | init | adjusted_rand_score_sklearn | n_iter_sklearnex | adjusted_rand_score_sklearnex | mean_sklearnex | stdev_sklearnex | speedup | stdev_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | KMeans_short | predict | 10000 | 1000 | 2 | 20 | 0.002 | 0.000 | 0.155 | 0.000 | random | 0.004 | 20 | 0.000 | 0.001 | 0.0 | 3.500 | 0.746 | See | See |
| 2 | KMeans_short | predict | 10000 | 1 | 2 | 20 | 0.002 | 0.000 | 0.000 | 0.002 | random | 1.000 | 20 | 1.000 | 0.000 | 0.0 | 10.573 | 5.973 | See | See |
| 4 | KMeans_short | predict | 10000 | 1000 | 2 | 20 | 0.002 | 0.000 | 0.154 | 0.000 | k-means++ | 0.003 | 20 | -0.001 | 0.001 | 0.0 | 3.129 | 0.748 | See | See |
| 5 | KMeans_short | predict | 10000 | 1 | 2 | 20 | 0.002 | 0.000 | 0.000 | 0.002 | k-means++ | 1.000 | 20 | 1.000 | 0.000 | 0.0 | 11.604 | 7.235 | See | See |
| 7 | KMeans_short | predict | 10000 | 1000 | 100 | 20 | 0.003 | 0.000 | 5.517 | 0.000 | random | 0.268 | 20 | 0.311 | 0.001 | 0.0 | 2.343 | 0.569 | See | See |
| 8 | KMeans_short | predict | 10000 | 1 | 100 | 20 | 0.002 | 0.000 | 0.010 | 0.002 | random | 1.000 | 20 | 1.000 | 0.000 | 0.0 | 9.007 | 4.537 | See | See |
| 10 | KMeans_short | predict | 10000 | 1000 | 100 | 20 | 0.003 | 0.001 | 4.907 | 0.000 | k-means++ | 0.308 | 20 | 0.316 | 0.001 | 0.0 | 2.799 | 0.779 | See | See |
| 11 | KMeans_short | predict | 10000 | 1 | 100 | 20 | 0.002 | 0.000 | 0.010 | 0.002 | k-means++ | 1.000 | 20 | 1.000 | 0.000 | 0.0 | 7.951 | 5.023 | See | See |
LogisticRegression: scikit-learn (1.0.dev0) vs. scikit-learn-intelex (2021.20210705.191215)¶All estimators share the following hyperparameters: penalty=l2, dual=False, tol=0.0001, C=1.0, fit_intercept=True, intercept_scaling=1, class_weight=nan, random_state=nan, solver=lbfgs, max_iter=100, multi_class=auto, verbose=0, warm_start=False, n_jobs=nan, l1_ratio=nan.
| estimator | function | n_samples_train | n_samples | n_features | n_iter | mean_sklearn | stdev_sklearn | throughput | latency | class_weight | l1_ratio | n_jobs | random_state | accuracy_score | mean_sklearnex | stdev_sklearnex | speedup | stdev_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | LogisticRegression | fit | 1000000 | 1000000 | 100 | [20] | 12.245 | 0.0 | [-0.09635366] | 0.000 | NaN | NaN | NaN | NaN | NaN | 1.936 | 0.0 | 6.325 | 0.0 | See | See |
| 3 | LogisticRegression | fit | 1000 | 1000 | 10000 | [26] | 0.793 | 0.0 | [2.62206356] | 0.001 | NaN | NaN | NaN | NaN | NaN | 0.752 | 0.0 | 1.054 | 0.0 | See | See |
| estimator | function | n_samples_train | n_samples | n_features | n_iter | mean_sklearn | stdev_sklearn | throughput | latency | class_weight | l1_ratio | n_jobs | random_state | accuracy_score | mean_sklearnex | stdev_sklearnex | speedup | stdev_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | LogisticRegression | predict | 1000000 | 1000 | 100 | [20] | 0.000 | 0.0 | [48.04292635] | 0.0 | NaN | NaN | NaN | NaN | 0.521 | 0.000 | 0.0 | 0.827 | 0.315 | See | See |
| 2 | LogisticRegression | predict | 1000000 | 1 | 100 | [20] | 0.000 | 0.0 | [0.210261] | 0.0 | NaN | NaN | NaN | NaN | 1.000 | 0.000 | 0.0 | 0.413 | 0.350 | See | See |
| 4 | LogisticRegression | predict | 1000 | 100 | 10000 | [26] | 0.002 | 0.0 | [118.92281543] | 0.0 | NaN | NaN | NaN | NaN | 0.280 | 0.003 | 0.0 | 0.545 | 0.090 | See | See |
| 5 | LogisticRegression | predict | 1000 | 1 | 10000 | [26] | 0.000 | 0.0 | [17.99015386] | 0.0 | NaN | NaN | NaN | NaN | 1.000 | 0.001 | 0.0 | 0.150 | 0.088 | See | See |
Ridge: scikit-learn (1.0.dev0) vs. scikit-learn-intelex (2021.20210705.191215)¶All estimators share the following hyperparameters: alpha=1.0, fit_intercept=True, normalize=deprecated, copy_X=True, max_iter=nan, tol=0.001, solver=auto, random_state=nan.
| estimator | function | n_samples_train | n_samples | n_features | n_iter | mean_sklearn | stdev_sklearn | throughput | latency | max_iter | random_state | r2_score | mean_sklearnex | stdev_sklearnex | speedup | stdev_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | Ridge | fit | 1000 | 1000 | 10000 | NaN | 0.188 | 0.0 | 0.425 | 0.0 | NaN | NaN | NaN | 0.194 | 0.0 | 0.970 | 0.0 | See | See |
| 3 | Ridge | fit | 1000000 | 1000000 | 100 | NaN | 1.538 | 0.0 | 0.520 | 0.0 | NaN | NaN | NaN | 0.255 | 0.0 | 6.026 | 0.0 | See | See |
| estimator | function | n_samples_train | n_samples | n_features | n_iter | mean_sklearn | stdev_sklearn | throughput | latency | max_iter | random_state | r2_score | mean_sklearnex | stdev_sklearnex | speedup | stdev_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Ridge | predict | 1000 | 1000 | 10000 | NaN | 0.009 | 0.0 | 8.518 | 0.0 | NaN | NaN | 0.066 | 0.015 | 0.001 | 0.625 | 0.034 | See | See |
| 2 | Ridge | predict | 1000 | 1 | 10000 | NaN | 0.000 | 0.0 | 0.918 | 0.0 | NaN | NaN | NaN | 0.000 | 0.000 | 0.700 | 0.579 | See | See |
| 4 | Ridge | predict | 1000000 | 1000 | 100 | NaN | 0.000 | 0.0 | 4.699 | 0.0 | NaN | NaN | 1.000 | 0.000 | 0.000 | 0.689 | 0.433 | See | See |
| 5 | Ridge | predict | 1000000 | 1 | 100 | NaN | 0.000 | 0.0 | 0.013 | 0.0 | NaN | NaN | NaN | 0.000 | 0.000 | 0.646 | 0.651 | See | See |